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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Introduction</a></li>
<li class="chapter" data-level="2" data-path="models-for-limited-dependent-variables.html"><a href="models-for-limited-dependent-variables.html"><i class="fa fa-check"></i><b>2</b> Models for Limited Dependent Variables</a><ul>
<li class="chapter" data-level="2.1" data-path="models-for-limited-dependent-variables.html"><a href="models-for-limited-dependent-variables.html#logit"><i class="fa fa-check"></i><b>2.1</b> Logit</a></li>
<li class="chapter" data-level="2.2" data-path="models-for-limited-dependent-variables.html"><a href="models-for-limited-dependent-variables.html#ordinal-logit"><i class="fa fa-check"></i><b>2.2</b> Ordinal Logit</a></li>
<li class="chapter" data-level="2.3" data-path="models-for-limited-dependent-variables.html"><a href="models-for-limited-dependent-variables.html#multinomial-logit"><i class="fa fa-check"></i><b>2.3</b> Multinomial Logit</a></li>
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<li class="chapter" data-level="4" data-path="design-weights.html"><a href="design-weights.html"><i class="fa fa-check"></i><b>4</b> Design Weights</a></li>
<li class="chapter" data-level="5" data-path="post-stratification-weights.html"><a href="post-stratification-weights.html"><i class="fa fa-check"></i><b>5</b> Post-Stratification Weights</a></li>
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<li class="chapter" data-level="6.1" data-path="item-scaling.html"><a href="item-scaling.html#alpha"><i class="fa fa-check"></i><b>6.1</b> Alpha</a></li>
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<li class="chapter" data-level="7" data-path="matching-and-balancing.html"><a href="matching-and-balancing.html"><i class="fa fa-check"></i><b>7</b> Matching and Balancing</a><ul>
<li class="chapter" data-level="7.1" data-path="matching-and-balancing.html"><a href="matching-and-balancing.html#coarsened-exact-matching"><i class="fa fa-check"></i><b>7.1</b> Coarsened Exact Matching</a></li>
<li class="chapter" data-level="7.2" data-path="matching-and-balancing.html"><a href="matching-and-balancing.html#entropy-balancing"><i class="fa fa-check"></i><b>7.2</b> Entropy Balancing</a></li>
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<li class="chapter" data-level="8" data-path="panel-data.html"><a href="panel-data.html"><i class="fa fa-check"></i><b>8</b> Panel Data</a><ul>
<li class="chapter" data-level="8.1" data-path="panel-data.html"><a href="panel-data.html#reshaping-data"><i class="fa fa-check"></i><b>8.1</b> Reshaping Data</a></li>
<li class="chapter" data-level="8.2" data-path="panel-data.html"><a href="panel-data.html#panel-analysis"><i class="fa fa-check"></i><b>8.2</b> Panel Analysis</a></li>
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<li class="chapter" data-level="9" data-path="survey-experiments.html"><a href="survey-experiments.html"><i class="fa fa-check"></i><b>9</b> Survey Experiments</a></li>
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<h1 class="title">Advanced Survey Data Analysis &amp; Survey Experiments</h1>
<h4 class="author"><em>Brian F. Schaffner</em></h4>
<h4 class="date"><em>2018-03-07</em></h4>
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<div id="introduction" class="section level1">
<h1><span class="header-section-number">Chapter 1</span> Introduction</h1>
<p>This website details various aspects of advanced survey design and analysis using cross-sectional, panel, and experimental data. Most of the examples here will utilize data from the Cooperative Congressional Election Study, a large-scale survey of Americans that has been conducted annually since 2005.</p>
<p>The tutorials included here make use of the Stata statistical software. However, there is a parallel packet available for R users available in PDF form which can be found online <a href="http://www.miacosta.com/blog">here</a>.</p>
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